Data Scientist

• Lead the production of modular data center solutions ensuring safety, quality, and efficiency.
• Partner closely with Design Engineering, Supply Chain, Finance, and Deployment teams to scale manufacturing capabilities.
• Drive process consistency and technical excellence across global manufacturing.
• Establish a performance baseline and drive key manufacturing KPIs including Safety, Quality, Cost, and On-Time Delivery (OTD).
• Develop and maintain executable capacity models capable of handling complex product mixes.
• Analyze S&OP forecasts and material constraints for strategic production recommendations.
• Support the Sourcing function during supplier selection and participate in product validation for manufacturing requirements.

Manufacturing Operations Manager – Modular Data Centers

• Implement and maintain the organisation’s data governance framework
• Drive data quality, data ownership, policy compliance, regulatory adherence, metadata management, and data stewardship practices across the enterprise
• Manage the Data Quality team
• Collaborate with business stakeholders, technology teams, risk and compliance functions, and senior leadership
• Maintain the enterprise data governance strategy, policies, standards, and operating model
• Establish and promote data governance best practices across business and technology functions
• Utilise Informatica Data Management Cloud for business glossaries, data dictionaries, and data lineage documentation
• Coordinate the internal Data Stewards working group
• Review and refine data ownership, stewardship, and accountability structures
• Lead root cause analysis and remediation activities for data quality issues
• Deliver governance reporting and insights to executive stakeholders
• Evaluate emerging technologies and best practices in data management and governance.

Data Governance Manager

• Design, develop, and deploy machine learning and data science solutions using Python.
• Build and maintain reusable Python libraries and analytical frameworks.
• Develop machine learning models, data visualization solutions, and analytical dashboards.
• Build and deploy APIs and cloud-based applications.
• Implement and maintain CI/CD pipelines for machine learning workflows.
• Deploy, monitor, and optimize machine learning models on Microsoft Azure.
• Collaborate with business stakeholders to translate business requirements into technical solutions.
• Maintain technical documentation and follow software engineering best practices.
• Stay up to date with emerging technologies and industry trends relevant to the role.

• - Own and grow our governance practice, frameworks, artefacts, and the operating models we recommend to clients. This will span data ownership, stewardship, quality, lineage, classification, retention, and access, and the regulatory overlays specific to Irish and UK health and social care.
• - Shape and lead our engagement methodology, from discovery and workshops through strategy into delivery.
• - Lead the change side of client work: stakeholder engagement, adoption, data literacy uplift, standing up governance committees, and operating-model changes.
• - Hire and grow the team of consultants and analysts who deliver this work across both markets.
• - Become a trusted advisor to executive sponsors, DPOs, CIOs, Heads of Quality and Regulation, and boards. Build relationships that position Stalis as a long-term partner.

Head of Data Strategy – Governance

• Explore & mobilise new data science applications for pricing, including but not limited to, delivery of pricing models that harness predictive capabilities to advise pricing strategy decisions.
• Deploy sophisticated statistical analysis and data manipulation techniques to analyse experimental data, identify trends and derive relevant conclusions.
• Coordinate set up and definition of experiments, deploying statistical techniques and processes, ensuring robust trial outputs that yield actionable insights.
• Build autonomous systems to monitor high volumes of price experiments & strategies, tracking critical metrics vs expectations and surfacing to the wider pricing team.
• Maintain comprehensive documentation of experimental builds, methodologies, and results to ensure transparency and reproducibility.
• Lead preparation and present findings to interested parties, clearly communicating the implications of pricing experiments on business strategies.
• Work proactively with cross-functional teams, including commercial, finance, and product development, to align data insights with business objectives.
• Lead senior data scientists, coordinating their respective focus areas and workloads as well as developing them personally to grow their careers.

Lead Data Scientist

• Oversee clinical data science workstreams, ensuring deliverables meet quality and timeline expectations
• Drive the analysis of clinical trial data to derive actionable insights and support decision-making processes
• Collaborate with cross-functional teams to ensure effective data collection, management, and reporting throughout clinical trials
• Oversee the implementation of best practices in data science methodologies and technologies within the organization
• Provide mentorship and guidance to junior data scientists, fostering a culture of continuous improvement
• Establish strong partnerships with internal and external stakeholders to enhance data integrity and optimize clinical outcomes

Clinical Data Science Manager

• Leading the development of analytical solutions and models to support underwriting and pricing decisions.
• Designing, building and maintaining robust data pipelines, datasets and codebases that support regular MI, dashboards and advanced analytics.
• Taking ownership of more complex reporting and forecasting processes, ensuring they are accurate, scalable and well-documented.
• Enhancing existing MI for Underwriting and Performance KPIs, introducing more advanced analytics.
• Developing and maintaining financial and performance forecasting models to support planning and portfolio steering.

Data Scientist jobs in Ireland

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